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DBMS > PostgreSQL vs. TempoIQ vs. YugabyteDB

System Properties Comparison PostgreSQL vs. TempoIQ vs. YugabyteDB

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Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLScalable analytics DBMS for sensor data, provided as a service (SaaS)High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score542.29
Rank#4  Overall
#4  Relational DBMS
Score1.14
Rank#158  Overall
#77  Relational DBMS
Websitewww.postgresql.orgtempoiq.com (offline)www.yugabyte.com
Technical documentationwww.postgresql.org/­docs/­manualsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerTempoIQYugabyte Inc.
Initial release1989 info1989: Postgres, 1996: PostgreSQL20122017
Current release13.0, September 20202.2.0, July 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageCC and C++
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Data schemeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsnoyes, PostgreSQL compatible
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIYCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infosql, plpgsql, C
Triggersyesyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple authentication-based access controlyes
More information provided by the system vendor
PostgreSQLTempoIQ infoformerly TempoDBYugabyteDB
Specific characteristicsGain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesYugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosYugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Licensing and pricing modelsYugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

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Related products and services
3rd partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
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pgDash: In-Depth PostgreSQL Monitoring.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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2ndQuadrant: Mission Critical Databases.
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CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PostgreSQLTempoIQ infoformerly TempoDBYugabyteDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

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